Jennifer Logg, PhD

Postdoctoral Fellow of Business Administration, Negotiation, Organization, and Markets, Harvard Business School
Jennifer Logg's work examines how situational factors challenge people's accuracy and how advice produced by algorithms can help them overcome biases in their judgments. Her primary research is a line of work she calls, "theory of machine." It examines lay theories about how algorithmic judgment differs from human judgment. Specifically, it tests when people are most likely to leverage the power of algorithms to improve how accurately they view themselves and the world.


  • PhD University of California, Berkeley


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